Andrew Bowler
Staff Software Engineer at John Deere
Des Moines Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolAndrew Bowler is a Staff Software Engineer with 11 years building full-stack web applications, currently shaping financial software at John Deere with React, Java, and AWS. He focuses on frontend/UX, developer experience, and removing delivery bottlenecks—efforts that tripled his team's velocity through continuous deployment and established a shared React/Storybook component library. Comfortable across industries from healthcare to e-commerce, he pairs hands-on coding with organization-wide initiatives like automated dependency remediation and technical talks. An active open-source maker, he created the popular MLB LED Scoreboard (widely shared on Reddit and GitHub), showcasing his blend of creative hardware-front-end work and data integration. Based in the Des Moines metro, he prefers hybrid roles and prioritizes team efficiency and pragmatic design over vendor or sales conversations.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS), Computer Software Engineering, Bachelor of Science (BS), Computer Software Engineering at Iowa State UniversityInternational Exchange Program, Software Engineering, International Exchange Program, Software Engineering at University of BirminghamOttumwa High School
Github Skills (11)
raspberry-pi10
api10
python10
apidoc10
xml-parsing10
data-retrieval10
error-handling8
apim8
json8
data-parsing8
testing7
Programming languages (9)
Github contributions (5)
MLB-LED-Scoreboard/mlb-led-scoreboard
Jan 2018 - Jan 2021
An LED scoreboard for Major League Baseball :baseball:
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:38 releases, 4 reviews, 195 commits in 3 years
Contributions summary:Andrew primarily focused on building the front-end elements of a Major League Baseball scoreboard. They implemented the base UI of the application using an LED matrix and also focused on displaying pregame data. Additionally, the user worked on integrating and leveraging the `rpi-rgb-led-matrix` library, and on rendering a final score screen. The user's work involved rendering team colors, team names, scores, and game statistics such as balls, strikes, outs, and baserunners.
raspberry-piadafruitrgb-ledledleague
panzarino/mlbgame
Jan 2018 - Feb 2019
A Python API to retrieve and read MLB GameDay data
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 commits, 4 PRs, 31 comments in 1 year 1 month
Contributions summary:Andrew primarily contributed to the `mlbgame` project by implementing features related to retrieving and processing MLB game data. Their work included adding functionality to retrieve and parse raw box score data, addressing bug fixes related to incorrect team flag checks, and incorporating attributes for probable starting pitchers. These changes involved modifications to core data retrieval and parsing functions, demonstrating a focus on enhancing the accuracy and completeness of the game data API. The user also implemented error handling for cases where raw box score data might not be available.
espnapipythongamedaysports-stats
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